基于轻量云模型的 WSN 不确定性信任表示方法简

参考云模型定性定量不确定性转换特性，设计了适用于WSN的轻量云模型，使用此模型对直接信任、间接信任、推荐行为的信任进行全面的不确定性表示。轻量云模型计算简单，每一个WSN节点均可独立建立轻量云模型，并对邻居节点信任情况进行全面的评估，从而发现WSN应用中的安全问题。实验结果表明，该方法克服了传统信任管理框架中敏感度与容忍度之间的矛盾，既保证了多种异常情况的高容忍度，又具备较敏感的攻击识别能力。

Representation for uncertainty trust of WSN based on lightweight-cloud

According to the characteristic of qualitative and quantitative uncertainty conversion ability of cloud model, a lightweight cloud model was designed, and the uncertainty representation of direct trust, indirect trust, and recommenda-tion trust in WSN was proposed. The computation cost of lightweight cloud model is quite low so that a single node can build lightweight cloud model independently and evaluate the trust of other nodes to find out the safety hazards in WSN. Simulations in multiple scenarios verify the effectiveness of the proposed method. Simulation results show that this method overcomes the contradiction between the sensitivity and tolerance of traditional trust management framework, furthermore, it's not only tolerant of abnormal conditions, but also sensitive to multiple attacks.